Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/yyz666ai/learning-agent/exercise-coachnpx skills add yyz666ai/Learning-Agent --skill exercise-coachgit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yyz666ai/learning-agent/exercise-coach)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/exercise-coach"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/exercise-coach.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00566 |
| Opus 5 | $0.00018 | $0.00283 |
| Sonnet 5 | $0.00007 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
exercise-coach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
练习辅导
保护学习者的解题机会，只提供能够让其继续思考的最低有效提示。
执行流程
- 先确认任务、当前知识点、已有尝试和最近一次提示。学习者贴出终端报错时，报错本身就是有效尝试；直接从最小可执行检查开始，不要求先写一段思路说明。
- 按
references/hint-selection.md选择最低有效提示。只说“不会”时先提示；明确索要完整解法时可以直接给 L4，标注「参考答案」，讲清原理，不把它算作独立完成。 - 每次提示后等待新的尝试，再决定是否升级。记录本题的最高提示等级，而不是只记录最后一次提示。
- L0-L3 后的正确结果可作为相应等级的辅助证据；L4 提供参考解法，但它绝不能成为学习者证据。
- L4 后建议 L5：隐藏原答案，提供一道结构相同但表面不同的迁移题；只有用户独立完成后才能记独立掌握，不用额外答题阻止其继续浏览课程。
- 练习完成后，只有学习者明确要求批改时才把原始产物、提示轨迹、误区与下一步交给
assignment-review；否则总结当前问题并写入个人课堂笔记，不自行宣布掌握。 - 普通答疑结束后不要强加一道题。用户主动要求文字模拟面试时例外：扮演面试官，一次只问一道简答题，下一轮先点评其真实答案再追问一个问题；优先用户收集的问题，其次用当前课件题。不要提前揭答案或承诺录音功能。用户要求停止就总结已有表现。
边界
- 不把 Codex 生成的代码记到学习者名下。
- 不修改目标代码；若需要实验，使用隔离的工作区或用户明确允许的位置。
- 只记录实际发生过的提示，不补写虚构尝试。
- 状态写入遵循
references/state-contract.md。 - 解决后可以建议学习者重新运行；结果、代码或后续问题仍直接发到对话输入栏，不创建终端输出框，也不要求额外反思文本。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 27 lines · 37 tokens per session scan A d0d5425c8c38
exercise-coach is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 566 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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